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[HTML][HTML] Network traffic classification: Techniques, datasets, and challenges
In network traffic classification, it is important to understand the correlation between network
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …
[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
Detection of doh tunnels using time-series classification of encrypted traffic
M MontazeriShatoori, L Davidson… - 2020 IEEE Intl Conf …, 2020 - ieeexplore.ieee.org
Computer networks have fallen easy prey to cyber attacks in the ever-evolving internet
services. Domain Name System (DNS) has also not remained untouched with these …
services. Domain Name System (DNS) has also not remained untouched with these …
MIMETIC: Mobile encrypted traffic classification using multimodal deep learning
Abstract Mobile Traffic Classification (TC) has become nowadays the enabler for valuable
profiling information, other than being the workhorse for service differentiation or blocking …
profiling information, other than being the workhorse for service differentiation or blocking …
TSCRNN: A novel classification scheme of encrypted traffic based on flow spatiotemporal features for efficient management of IIoT
Abstract In the Industrial Internet of Things (IIoT) in the 5G era, the growth of smart devices
will generate a large amount of data traffic, bringing a huge challenge of network traffic …
will generate a large amount of data traffic, bringing a huge challenge of network traffic …
A survey of techniques for mobile service encrypted traffic classification using deep learning
The rapid adoption of mobile devices has dramatically changed the access to various
networking services and led to the explosion of mobile service traffic. Mobile service traffic …
networking services and led to the explosion of mobile service traffic. Mobile service traffic …
Seeing traffic paths: Encrypted traffic classification with path signature features
Although many network traffic protection methods have been developed to protect user
privacy, encrypted traffic can still reveal sensitive user information with sophisticated …
privacy, encrypted traffic can still reveal sensitive user information with sophisticated …
How to achieve high classification accuracy with just a few labels: A semi-supervised approach using sampled packets
Network traffic classification, which has numerous applications from security to billing and
network provisioning, has become a cornerstone of today's computer networks. Previous …
network provisioning, has become a cornerstone of today's computer networks. Previous …
Large-scale mobile app identification using deep learning
Many network services and tools (eg network monitors, malware-detection systems, routing
and billing policy enforcement modules in ISPs) depend on identifying the type of traffic that …
and billing policy enforcement modules in ISPs) depend on identifying the type of traffic that …
Semi-supervised encrypted traffic classification with deep convolutional generative adversarial networks
AS Iliyasu, H Deng - Ieee Access, 2019 - ieeexplore.ieee.org
Network traffic classification serves as a building block for important tasks such as security
and quality of service management. The field has been studied for a long time, with many …
and quality of service management. The field has been studied for a long time, with many …